Is it compatible with breastfeeding? www.e-lactancia.org: analysis of visits, user profile and most visited products

Introduction One of the factors to influence abandoning breastfeeding is mothers’ use of medications. The www.e-lactancia.org website is a reliable source in Spanish and English for online free-access information about the compatibility of medications with breastfeeding. The aim of this study was to analyse the search profiles, and groups and products, searched the most on this website. Materials and methods A retrospective and descriptive study of the e-lactancia.org website during 2014–2018. Google Analytics was used for data collection. The following variables were analysed: number of users and queries; professional profile; country; language; users’ and groups’ access modes/devices; most searched products. Results We found 16,821.559 users and 63,783.866 pages. Of users, 62.7 % were “mother/father”, and 31.9 % were health professionals. Visits came mostly from: Spain (25.86 %); Mexico (16.87 %); Argentina (7.99 %); Chile (7.31 %). The preferred access mode and device were organic searches (62.1 %) and mobile phones (73.4 %), respectively. Phytotherapy (14.4 %), antibacterial agents (12.3 %) and NSAIDs (12.3 %) were the most searched groups, and ibuprofen (6.25 %) was the most popular product. Conclusion Users and consultations in e-lactation increased significantly during the study period. Mothers/fathers were the main website users, followed by health professionals. The main consulted groups were antibacterial agents, NSAIDs and systemic phytotherapy. Ibuprofen, paracetamol and amoxicillin stood out as the most consulted products. These results revealed increase Internet resources use to solve parents and health professionals’ breastfeeding doubts. Future research should study how users (parents, health professionals) interact with this information

Host factors are associated with vaginal microbiome structure in pregnancy in the ECHO Cohort Consortium

Using pooled vaginal microbiota data from pregnancy cohorts (N = 683 participants) in the Environmental influences on Child Health Outcomes (ECHO) Program, we analyzed 16S rRNA gene amplicon sequences to identify clinical and demographic host factors that associate with vaginal microbiota structure in pregnancy both within and across diverse cohorts. Using PERMANOVA models, we assessed factors associated with vaginal community structure in pregnancy, examined whether host factors were conserved across populations, and tested the independent and combined effects of host factors on vaginal community state types (CSTs) using multinomial logistic regression models. Demographic and social factors explained a larger amount of variation in the vaginal microbiome in pregnancy than clinical factors. After adjustment, lower education, rather than self-identified race, remained a robust predictor of L. iners dominant (CST III) and diverse (CST IV) (OR = 8.44, 95% CI = 4.06–17.6 and OR = 4.18, 95% CI = 1.88–9.26, respectively). In random forest models, we identified specific taxonomic features of host factors, particularly urogenital pathogens associated with pregnancy complications (Aerococcus christensenii and Gardnerella spp.) among other facultative anaerobes and key markers of community instability (L. iners). Sociodemographic factors were robustly associated with vaginal microbiota structure in pregnancy and should be considered as sources of variation in human microbiome studies